This white paper from Redis provides a handy guide to implementing common machine learning models such as decision trees, matrix operations, and logistic and linear regression in Redis-ML, a breakthrough Redis module.
While most machine learning toolkits focus primarily on training models, deploying custom machine learning solutions requires solutions to its own set of challenges.
Redis-ML is a Redis module that implements several machine learning models as built-in Redis data types and makes it simple to load and deploy trained models from any platform (such as Apache Spark and scikit-learn) in a production environment.
This white paper offers tutorials and sample code for several types of machine learning models implemented in Redis-ML, including:
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